The value of data lies in answering questions so knowing what question(s) you want to answer is an essential first step. This guide details some of the areas that data can be used to investigate.
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Head of Department’s Experience of Managing and Interrogating Programme-Level Assessment – Asking Questions
Case Study K: Using Standard Moodle Reports to Identify AtRisk Students in an Online Course
Case Study L: Using Examination Data Analysis Forms to Implement Year-on-Year Module Improvements
Case Study M: Developing a Cost-Neutral Tracker of Student Workload Distribution
Case Study E: The ‘Meitheal’ and Me: Mapping the National Forum Professional Development Framework
Case Study H: A Sense of Place – Making the Tacit Explicit in Work Placement
Case Study D: Identifying Students in Need of Targeted Support
Case Study D: Professional Development with Industry Professionals
Case Study E: Assessing Students’ Engagement and Responses
Case Study F: Balancing Quantitative and Qualitative Data to Drive Change
Case Study F: Creating Space for Professional Development
Case Study G: Fun and Laughter in Professional Development
Case Study G: Using Standard Blackboard Features to Assess Students’ Usage of the VLE
Case Study H: Using Data to Identify Students that have not Accessed the VLE and Incorporating Feedback into Module
Assessing the Success of Analytics-led Interventions
Case Study I: Challenges in Identifying Correlation in a Small Module
Case Study J: Collating Data from Multiple Sources to Identify At-Risk Students